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Data Engineer

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Data Engineer
Our client is currently seeking a Data Engineer to join their project team. They are developing business performance
solutions for clients around the world, powered by state-of-the-art machine learning and probabilistic algorithms.

If you would you like to join a focused and fast-moving team within a well-established company, a team of techies,
data crunchers and business experts willing to make a difference in a quickly changing industry. Its time to make a
move and get in touch!

Your key responsibilities:

You will work closely with data scientists on projects in order to build and maintain the data processing pipeline and
generate features for Machine Learning models.

You will commit to the internal data processing libraries and infrastructures with the backend team, platform and big
data engineers.

You will interact with the business intelligence team and tackle clients issues and monitor the quality of the
incoming data.

Pro-actively getting evolve in the latest technologies trends by testing state-of-the-art tools, reading technical
literature and attending professional conferences.

Your profile - need to have:

MSc or PhD degree in Computer Science, Computer Engineering, or related field of study, or similar work experience.

Proven track record hands on experience with: Scala, Python, Spark, PySpark, and SQL.

Hands on experience with building data processing pipelines.

Proven track with Amazon AWS tools.

This role requires an entrepreneurship mindset, able to share, debate ideas and solutions with the other members of
the team.

Written and spoken English Level C1.

Written and verbal communication skills.

Your profile - nice to have:

Proven track with agile engineering practices.

Hands on experience with operationalizing Machine Learning models at scale.

Hands on experience in creating proof-of-concepts and/or rapidly prototyping ideas.

Lausanne / Vaud / Suisse romande / Romandie

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